Patent SG-11201900220R-A (SG)
Title: Distributed machine learning systems, apparatus, and methods
Inventor: SZETO CHRISTOPHER
IPC: G06N5/04
Filed: 2017-07-17
Abstract: INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property :::` , MD HIM 0 11101 HOE 3E1 0 0111111010 HOME 1111 11110 MAMIE Organization International Bureau (10) International Publication Number 03 (43) International Publication Date .....•\"\"- WO 2018/017467 Al 25 January 2018 (25.01.2018) WIP0 I PCT (51) International Patent Classification: (74) Agent: BOOTH, Paul, M. et al.; Edell, Shapiro & Finnan, GOON 99/00 (2010.01) GOON 5/04 (2006.01) LLC, 9801 Washingtonian Blvd., Suite 750, Gaithersburg, MD 20878 (US). (21) International Application Number: PCT/US2017/042356 (81) Designated States (unless otherwise indicated, for every (22) International Filing Date: kind of national protection available): AE, AG, AL, AM, 17 July 2017 (17.07.2017) AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, (25) Filing Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (26) Publication Language: English HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (30) Priority Data: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 62/363,697 18 July 2016 (18.07.2016) US OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, (71) Applicants: NANTOMICS, INC. [US/US]; 9920 Jef- TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. ferson Boulevard, Culver City, CA 90232 (US). NANT HOLDINGS IP, LLC. [US/US]; 9920 Jefferson Boule- (84) Designated States (unless otherwise indicated, for every yard, Culver City, CA 90232 (US). kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (72) Inventors: SZETO, Christopher; 122 Alto Sol Court, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, Scotts Valley, CA 95066 (US). BENZ, Stephen, Charles; TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, — 2901 Mission Street, Suite A, Santa Cruz, CA 95060 (US). EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, WITCHEY, Nicholas, J.; 24832 Hon Avenue, Luguna MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, = Hills, CA 92653 (US). TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). = (54) Title: DISTRIBUTED MACHINE LEARNING SYSTEMS, APPARATUS, AND METHODS = (57) : A distributed, online machine learning system is presented. = Hospital 120A -----. 100 Contemplated systems include many private data servers, each having local private data. Researchers can request that relevant private data servers train ...... - Private Data 122A Private Data Server .,--> 124A ., implementations of machine learning algorithms on their local private data without requiring de-identification of the private data or without exposing = --- - Modeling Engine 126A I the private data to unauthorized computing systems. The private data servers also generate synthetic or proxy data according to the data distributions of the data. The then the data to train actual servers use proxy proxy models. _ When the proxy models are sufficiently similar to the trained actual models, = .. . = Non-private Computing 12013 data, learned knowledge the proxy proxy model parameters, or other can _ = -.. ...0 Data ,... 1228 Private Data sleler Privat (Central or Global Network (Internet, M Model Server, Etc m be transmitted to one or more non-private computing devices. The learned knowledge from many private data servers can then be aggregated into one — Modeling Engine 12613 l Global Modeling Engine M or more trained global models without exposing private data. — 0 0 0 Il 120N r . ' ,tD 1 :: i Private Data <—> 122N Private Data Server 124N 7r Il © Modeling Engine 126N \,. GC Il © N Flgui e I C [Continued on next page] WO 2018/017467 Al MIDEDIMOMMIDIREIEHMOIDEMINHINVOIS Published: — with international search report (Art. 21(3))